Description

You will bridge the gap between research and production by building scalable pipelines and optimizing AI models. Your work ensures the MRI technology delivers fast, reliable imaging solutions.

Requirements

• •Solid knowledge of Pytorch and ML experiment tracking tools
• •Ability to build and optimize model training pipelines
• •Familiarity with machine learning production and deployment tools
• •Strong Python coding skills and software best practices
• •Confidence with version control tools like git
• •Experience with Docker and reproducible environments
• •Experience with CI/CD pipelines
• •Familiarity with Prometheus and Grafana monitoring tools
• •Experience building and automating complex data pipelines
• •Experience in deep learning inference speed optimization
• •Excitement for cross-functional teamwork and business value
• •Commitment to code quality and testing best practices
• •Iterative development and customer-focused delivery mindset
• •Enthusiasm for collaboration and knowledge sharing
• •Bachelor's degree

Tasks

• •Build and improve modular, scalable model training code
• •Automate pipelines for data ingestion and model training
• •Optimize production code for latency and memory footprint
• •Troubleshoot and refine machine learning models
• •Deploy and monitor models to ensure stable inference
• •Collaborate with data scientists to fine-tune models
• •Adopt new tools and best practices for data processing

Tools & Technologies

Benefits